Pregled bibliografske jedinice broj: 704126
Detecting multifractal stochastic processes under heavy-tailed effects
Detecting multifractal stochastic processes under heavy-tailed effects // Chaos, solitons and fractals, 65 (2014), 78-89 doi:10.1016/j.chaos.2014.04.016 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 704126 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Detecting multifractal stochastic processes under heavy-tailed effects
Autori
Grahovac, Danijel ; Leonenko, Nikolai
Izvornik
Chaos, solitons and fractals (0960-0779) 65
(2014);
78-89
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
multifractal stochastic processes; partition function; scaling function; multifractal spectrum; heavy tails
Sažetak
Multifractality of a time series can be analyzed using the partition function method based on empirical moments of the process. In this paper we analyze the method when the underlying process has heavy-tailed increments. A nonlinear estimated scaling function and non-trivial spectrum are usually considered as signs of a multifractal property in the data. We show that a large class of processes can produce these effects and that this behavior can be attributed to heavy tails of the process increments. Examples are provided indicating that multifractal features considered can be reproduced by simple heavy-tailed Lévy process.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
235-2352818-1039 - Statistički aspekti problema procjene u nelinearnim parametarskim modelima (Benšić, Mirta, MZOS ) ( CroRIS)
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
Profili:
Danijel Grahovac
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
- Research Alert
- SCISEARCH
- Scopus